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v0.59.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.59.0 for changelog.

Files changed (2) hide show
  1. README.md +22 -22
  2. release_assets.json +7 -9
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: other
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  StateTransformer is a transformer-based model designed for trajectory prediction in self-driving scenarios. It integrates rasterized map data, agent context, and temporal dynamics to generate accurate future trajectories.
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- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/statetransformer) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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@@ -27,22 +27,22 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
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- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.58.0/statetransformer-onnx-float.zip)
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- | TFLITE | float | Universal | | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.58.0/statetransformer-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[StateTransformer on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/statetransformer)**.
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  ### Option 2: Export with Custom Configurations
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- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/statetransformer) Python library to compile and export the model with your own:
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  - Custom weights (e.g., fine-tuned checkpoints)
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  - Custom input shapes
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  - Target device and runtime configurations
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  This option is ideal if you need to customize the model beyond the default configuration provided here.
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- See our repository for [StateTransformer on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/statetransformer) for usage instructions.
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  ## Model Details
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@@ -57,23 +57,23 @@ See our repository for [StateTransformer on GitHub](https://github.com/qualcomm/
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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  |---|---|---|---|---|---|---
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- | StateTransformer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 942.691 ms | 38 - 3955 MB | NPU
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- | StateTransformer | ONNX | float | Snapdragon® 8 Elite Mobile | 772.05 ms | 92 - 3005 MB | NPU
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- | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 772.05 ms | 92 - 3005 MB | NPU
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- | StateTransformer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 492.878 ms | 214 - 227 MB | CPU
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- | StateTransformer | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 716.881 ms | 431 - 450 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® QCS8275 | 939.423 ms | 451 - 464 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 600.517 ms | 462 - 527 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® SA8775P | 732.464 ms | 440 - 452 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® SA8650P | 732.464 ms | 440 - 452 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® SA8255P | 732.464 ms | 440 - 452 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® QCS8450 | 716.881 ms | 431 - 450 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 763.505 ms | 249 - 670 MB | CPU
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- | StateTransformer | TFLITE | float | Snapdragon® 8 Elite Mobile | 378.063 ms | 262 - 272 MB | CPU
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- | StateTransformer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 252.775 ms | 229 - 243 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® SA7255P | 939.423 ms | 451 - 464 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® SA8295P | 611.176 ms | 381 - 390 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 378.063 ms | 262 - 272 MB | CPU
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  ## License
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  * The license for the original implementation of StateTransformer can be found
 
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15
  StateTransformer is a transformer-based model designed for trajectory prediction in self-driving scenarios. It integrates rasterized map data, agent context, and temporal dynamics to generate accurate future trajectories.
16
 
17
+ This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/statetransformer) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
30
+ | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.59.0/statetransformer-onnx-float.zip)
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+ | TFLITE | float | Universal | | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.59.0/statetransformer-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[StateTransformer on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/statetransformer)**.
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35
 
36
  ### Option 2: Export with Custom Configurations
37
 
38
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/statetransformer) Python library to compile and export the model with your own:
39
  - Custom weights (e.g., fine-tuned checkpoints)
40
  - Custom input shapes
41
  - Target device and runtime configurations
42
 
43
  This option is ideal if you need to customize the model beyond the default configuration provided here.
44
 
45
+ See our repository for [StateTransformer on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/statetransformer) for usage instructions.
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  ## Model Details
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
59
  |---|---|---|---|---|---|---
60
+ | StateTransformer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 935.497 ms | 75 - 3989 MB | NPU
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+ | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 771.09 ms | 89 - 3000 MB | NPU
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+ | StateTransformer | ONNX | float | Snapdragon® 8 Elite Mobile | 771.09 ms | 89 - 3000 MB | NPU
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+ | StateTransformer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 493.767 ms | 308 - 326 MB | CPU
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+ | StateTransformer | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 713.923 ms | 265 - 284 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 931.808 ms | 443 - 457 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 591.882 ms | 393 - 459 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8775P | 735.722 ms | 448 - 460 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8650P | 735.722 ms | 448 - 460 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8255P | 735.722 ms | 448 - 460 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® QCS8450 | 713.923 ms | 265 - 284 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 758.484 ms | 238 - 659 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 377.443 ms | 411 - 422 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA7255P | 931.808 ms | 443 - 457 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8295P | 596.745 ms | 387 - 396 MB | CPU
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+ | StateTransformer | TFLITE | float | Snapdragon® 8 Elite Mobile | 377.443 ms | 411 - 422 MB | CPU
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+ | StateTransformer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 252.872 ms | 192 - 204 MB | CPU
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  ## License
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  * The license for the original implementation of StateTransformer can be found
release_assets.json CHANGED
@@ -1,20 +1,18 @@
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  {
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- "version": "0.58.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
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- "tflite": {
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- "tool_versions": {
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- "litert": "1.4.4"
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- },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.58.0/statetransformer-tflite-float.zip"
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- },
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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- "onnx_runtime": "1.25.0"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.58.0/statetransformer-onnx-float.zip"
 
 
 
 
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  }
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  }
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  }
 
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  {
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+ "version": "0.59.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
 
 
 
 
 
 
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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+ "onnx_runtime": "1.27.1"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.59.0/statetransformer-onnx-float.zip"
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+ },
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+ "tflite": {
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+ "tool_versions": {},
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.59.0/statetransformer-tflite-float.zip"
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  }
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  }
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  }